Capturing and understanding user interests are an important part of social media analytics.
Users of social media sites often belong to multiple interest communities, and their interests …

Interactive multimedia is clearly a field of fundamental research, social, educational and
economical importance, as it combines multiple disciplines for the development of …

There has been increasing interest in the study of research communities with the goal of
optimizing their outcomes and impact. While current methods can predict future trends, they …

Abstract High-Utility Itemset Mining (HUIM) is a relevant data mining task. The goal is to
discover recurrent combinations of items characterized by high profit from transactional …

Classification is an established data mining problem that has largely been investigated by
the research community. Since the raw data is commonly unsuitable for training a classifier …

A large portion of user-generated content published on the Web consists of opinions and
reviews on products, services, and places in textual form. Many travellers and tourists …

Planning stock portfolios is a challenging task, because investors have to forecast stock
market trends. To limit losses due to wrong forecasts a common strategy is diversification …

The increasing availability of user-generated content coming from online communities
allows the analysis of common user behaviors and trends in social network usage. This …

Generalized itemset mining is an established data mining technique that focuses on
discovering high-level correlations among large databases. By exploiting a taxonomy built …

Social media especially Twitter has become ubiquitous among people where they express
their opinions on various domains. This paper presents a Hybrid Firefly–Ontology-based …